基于物联网的电网企业物资仓储系统的优化研究

发布时间：2018-01-09 04:12

本文关键词：基于物联网的电网企业物资仓储系统的优化研究　出处：《华北电力大学》2014年硕士论文　论文类型：学位论文

【摘要】：近年来,随着物联网技术的飞速发展与不断趋于成熟,电网企业物资仓储管理迎来了崭新的机遇与挑战。出于电网企业建设智能电网的迫切需求,物资仓储管理需要达到一个全新的高度以保障电网企业的高效运转。因此,如何利用物联网先进的技术对电网企业物资仓储管理研究成为目前电网企业在物资仓储管理方面一个重要的课题。本文在论述物联网发展及演进的基础上,对物联网关键技术进行了总结和分析,包括RFID射频识别技术、传感技术、RTIL实时定位技术和数据的挖掘与融合技术；论述了国内外物联网现状及发展趋势、发展瓶颈；总结了电网企业物资仓储管理现状、问题、发展趋势和管理目标；对于基于物联网的电网企业物资仓储管理进行了需求分析、必要性分析和可行性分析,规划和设计了系统的功能模块,包括接收管理、入库管理、出库管理、库存管理、货位管理和用户管理,提出基于物联网的电网企业物资仓储管理的系统架构,提出货位动态分配优化模型,采用Pareto遗传算法对货位动态分配优化问题进行了求解,提出各环节的优化优化措施与改进方案。
[Abstract]:In recent years, with the rapid development of Internet technology and mature, warehousing management of power grid enterprises ushered in new opportunities and challenges. For the urgent needs of the power grid enterprises to build smart grid, warehousing management need to reach a new height in order to ensure the efficient operation of electric network enterprises. Therefore, how to use advanced networking studies on the warehousing management of power grid enterprises become the power grid enterprises in warehousing management an important issue.
Based on the discussion of the development of the Internet of things and the evolution of the network, the key technologies are summarized and analyzed on the matter, including RFID technology, sensor technology, RTIL technology and data mining real-time positioning and fusion technology; discusses the current situation and development trend of domestic and foreign things, the bottleneck of the development of power grid enterprises; summarizes the material storage management of the status quo, problems, development trends and management objectives; for IOT based grid enterprises warehousing management has carried on the demand analysis, analysis of the necessity and feasibility analysis, planning and design of the functional modules of the system, including receiving management, warehouse management, warehouse management, inventory management, storage management and user management, the system architecture based on the Internet of things in power grid enterprise warehousing management, proposed location dynamic allocation optimization model, the optimization problem of the dynamic allocation of storage Pareto genetic algorithm The solution is carried out, and the optimization and optimization measures of each link are put forward.

【学位授予单位】：华北电力大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP391.44;TN929.5;F426.61;F253.9

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